Comments (1)
In the beginning, I used the model I trained to eval found that the picture output was too pink. I thought maybe the dataset I trained was too little, but I used the 83256 you provided to eval the result is also pink, just like the figure 6(a) in your paper when GAN is not used.
If the data set is large, the effect will be good. I started with too few data sets.
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Related Issues (20)
- (If we have time) Adapt the logic to output the object instead of a mask
- [Paper] Theorical approach
- [Paper] Intro/related work
- Without trimap ? HOT 2
- Error message running Training HOT 6
- An error occurred while running the evaluation script HOT 5
- The output images have pink/red hue over it HOT 2
- Time required for training
- How long it did you take to train the modal? HOT 1
- train.py: module 'tensorflow' has no attribute 'get_variable' HOT 1
- Facing issues while using it in colab HOT 2
- Not able to download images HOT 4
- Item no.: 1 --> Item name = portrait transparent background Evaluating... Looks like we cannot locate the path the 'chromedriver' (use the '--chromedriver' argument to specify the path to the executable.) or google chrome browser is not installed on your machine (exception: Message: session not created: This version of ChromeDriver only supports Chrome version 81 )
- Is there anyone can download the
- Is there anyone can download the dataset?
- Download a U-net implementation and adapt it to our needs
- [Paper] Critical Analysis
- Evaluate the u-net
- [Paper] Experiments
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